数据来源：ArXiv Domain LLM Domain Papers1. A Virtual Member of a Community of Practice for the Society of Petroleum Engineers: From Prototype to DeploymentAbstract:We describe the evolution of a virtual assistant, called ATHENA, designed to support the capture, retrieval, and dissemination of knowledge for members of a Community of Practice (CoP) related to the Oil and Gas sector. An evaluation of a first prototype involving 75 professionals from the Society of Petroleum Engineering (SPE) showed th ...

数据来源：ArXiv Domain LLM Domain Papers1. TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative DecodingAbstract:Speculative decoding accelerates large language model inference through a draft-then-verify paradigm. Building on this, tree-structured methods improve inference by organizing proposals into multiple candidate paths, increasing the accepted length. However, existing tree-structured methods use a single drafter for all drafting steps, creating a dilemma: a smaller drafter ...

数据来源：ArXiv Domain LLM Domain Papers1. TabletCraft: Bridging a 4,000-Year Cultural Gap with Bidirectional Akkadian NMT and Cuneiform RenderingAbstract:Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world’s oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed. Prior work enables one-way, scholar-oriented translation from Akkadian to English, but offers no path in ...

数据来源：HuggingFace Papers Latest Papers1. Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software EvolutionAbstract:Code language models need repository-level context to resolve imports, APIs, and project conventions. Existing methods inject this knowledge as long inputs (retrieved through RAG or dependency analysis) or through per-repository fine-tuning and LoRA — costly at repository scale and brittle to evolving codebases. We introduce Code2LoRA, a hypernetwork fram ...

数据来源：HuggingFace Papers Latest Papers1. EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic EnvironmentsAbstract:Large language model (LLM) agents have achieved strong performance on a wide range of benchmarks, yet most evaluations assume static environments. In contrast, real-world deployment is inherently dynamic, requiring agents to continually align their knowledge, skills, and behavior with changing environments and updated task conditions. To address this gap, we introdu ...

数据来源：HuggingFace Papers Latest Papers1. OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired DataAbstract:Cloning camera motion from reference videos is an important task in video generation, as videos provide intuitive and precise control. Existing methods either directly use parametric representations that fail to handle multi-shot generation or synthesize cross-paired data, which suffer from data scarcity, resulting in poor performance in complicated camera motion cloning. T ...

数据来源：HuggingFace Papers Latest Papers1. LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation ScalingAbstract:Looped Transformers scale latent computation by repeatedly applying shared blocks, but sequential looping increases latency and KV-cache memory with the loop count. Parallel loop Transformers (PLT) alleviate this cost through cross-loop position offsets (CLP) and shared-KV gated sliding-window attention, making loop count a practical design choice. We therefore study PLT loo ...

数据来源：HuggingFace Papers Latest Papers1. Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level PerformanceAbstract:While 10B-level industrial foundation models have pushed the boundaries of image inpainting, their prohibitive computational costs severely hinder practical deployment. Constructing a highly optimized task-specific specialist offers a promising solution; however, extreme structural compression inevitably triggers a severe representation bottleneck. To conquer this, we ...

数据来源：HuggingFace Papers Latest Papers1. Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level PerformanceAbstract:While 10B-level industrial foundation models have pushed the boundaries of image inpainting, their prohibitive computational costs severely hinder practical deployment. Constructing a highly optimized task-specific specialist offers a promising solution; however, extreme structural compression inevitably triggers a severe representation bottleneck. To conquer this, we ...

数据来源：HuggingFace Papers Latest Papers1. DanceOPD: On-Policy Generative Field DistillationAbstract:Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are rarely naturally aligned and often conflict. For instance, editing tends to degrade T2I performance, while global and local editing interfere with each other. Consequently, effectively composing these capabilities has be ...

数据来源：HuggingFace Papers Latest Papers1. LoopArena: Benchmarking Models as Runtime Controllers for Loop EngineeringAbstract:Loop Engineering is emerging as a practice for organizing development work around coding agents. Instead of writing each prompt by hand, practitioners design loops that monitor progress, assign work, run checks, and decide what the agent should do next. Even with a capable coding agent, a loop may trust a stale progress note, skip needed verification, spend its budget in t ...

数据来源：HuggingFace Papers Latest Papers1. StudentSim: Training LLM-based Student SimulatorsAbstract:AI tutors are most useful when they adapt to each student’s strengths, weaknesses, and preferred guidance, but evidence about which guidance works for which student is sparse, slow, and costly to collect from real learners. Student simulators can provide this signal as a proxy, yet existing approaches are limited: state-tracking models fit student behavior but struggle to process explanations or c ...

数据来源：HuggingFace Papers Latest Papers1. Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-ImprovementAbstract:On-policy distillation (OPD) offers dense token-level supervision as an alternative to the sparse outcome-level advantages of reinforcement learning with verifiable rewards (RLVR). However, the teacher scores student-generated trajectories that are inherently off-policy for it, so the reliability of its supervision, and hence the source of the student’s improvement ...

数据来源：HuggingFace Papers Latest Papers1. Repo-To-Skill: Distilling GitHub Repositories Into AI4AI SkillsAbstract:Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model backbone with a harness for planning, execution, memory, and verification, but this architecture still leaves domain-specific know-how outside the agent. We call this missing layer operational knowledge, the know-how that separates knowing a method from making it work. ...

数据来源：HuggingFace Papers Latest Papers1. Compile by Training: Turning Natural-Language Specifications into Local Neural FunctionsAbstract:Many recurring text functions are easy to describe but difficult to implement with rules, while calling a large remote model for every input introduces repeated cost, latency, and dependency on a provider. We present compile by training, which turns a natural-language specification into a reusable neural function. At compile time, teacher models generate task ...